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mean-square practical stability criteria for uncertain time-varying stochastic systems with additive noise controlled by optimal feedback 发自小木虫Android客户端 |
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Mean-square practical stability for uncertain stochastic system with additive noise controlled by optimal feedback 作者 ong-hui Mao; Yang-wang Fang; Peng-fei Yang; You-li Wu; Xiao-ju YongOptik 卷: 127 期: 13 页: 5334-40 DOI: 10.1016/j.ijleo.2016.02.068 出版年: July 2016 摘要 Stability concepts addressed in the framework of Lyapunov are not suitable to analyze the stability of stochastic systems with additive noise since it has no equilibrium. The mean-square practical stability is introduced to study the stability of uncertain stochastic systems with additive noise controlled by linear-quadratic optimal feedback. By using Lyapunov functional methods and the comparison principle, criteria on mean-square practical stability of stochastic systems with partially known uncertainties and norm-bounded parameter uncertainties are deduced, respectively. Some numerical examples and simulations are given to illustrate the validity of the theoretical analysis. [All rights reserved Elsevier]. 作者信息 作者地址: Dong-hui Mao; Yang-wang Fang; Peng-fei Yang; You-li Wu; Xiao-ju Yong; Aeronaut. & Astronaut. Eng. Coll, Air Force Eng. Univ., Xi'an, China. 出版商 Elsevier B.V., Netherlands 类别 / 分类 研究方向:Computer Science (由 Thomson Reuters 提供) 分类代码:C1340G Time-varying control systems; C1330 Optimal control; C1320 Stability in control theory CODEN:OTIKAJ 受控索引:feedback; linear quadratic control; Lyapunov methods; stability; stochastic systems; uncertain systems 非受控索引:mean-square practical stability; uncertain stochastic system; additive noise controlled; Lyapunov framework; linear-quadratic optimal feedback; Lyapunov functional methods; comparison principle; norm-bounded parameter uncertainties 文献信息 文献类型:Journal Paper 语种:English 入藏号:INSPEC:15935831 ISSN:0030-4026 参考文献数:14 期刊信息 Impact Factor (影响因子): Journal Citation Reports® 其他信息 处理类型:Theoretical or Mathematical 文献号:S0030-4026(16)30151-6 |

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ong-hui Mao; Yang-wang Fang; Peng-fei Yang; You-li Wu; Xiao-ju Yong
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